This course is designed to enhance students' ability to model probability distributions. Topics covered include: permutations and combinations; the concept of probability; mutually exclusive events; independent events; tree and Venn diagrams; conditional probability; discrete random variables; binomial, geometric and Poisson distributions; continuous random variables; expectation and variance of a function of a continuous random variable; cumulative distribution functions; the standard normal distribution; Poisson and normal approximations to the binomial distribution.